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Last Thursday, November 30th, the FourByThree consortium as well as its project officer and technical advisor gathered at IK4-TEKNIKER’s facilities for the final review meeting. During the meeting, all project results were reported and pilot scenarios were presented through videos and live demonstrations.

To mark the completion of the FourByThree project, Queen Mary University London organised an event entitled “Next Generation Robots for the Factory of the Future” that attracted an audience of 100 participants and took place in the Royal Society, London on the 17th of November.

Machining companies are busier than ever. The sector is doing well. Smart Industry or Industry 4.0 is creating major changes in the industry. More and more production is coming back to the Netherlands. It was previously attractive to produce,

Last week, members of the FourByThree consortium gathered at ZeMA’s (Zentrum für Mechatronik und Automatisierungstechnik) facilities, located in Saarbrücken (Germany) for the last technical and plenary meeting of the project before the final review meeting,

This past month, FourByThree has been present at the Festival Internazionale della Robotica (International Robotics Festival), held in Pisa, Italy, on September 7-13 2017. The festival addressed a general public and, besides researchers and representatives of

Source: Tech Crunch MIT’s Computer Science and Artificial Intelligence Lab has devised a method by which robots can understand and respond to voice commands, stated in clear, plain language. The system is advanced enough to understand contextual commands, too, including references made to previously mentioned commands and objects.

Source: RobotWorkx The global robotic market consists of a wide range of technologies that are advancing at light speed paces and expecting huge growths. This is especially seen within the collaborative branch. The collaborative robot market is expecting an incredibly high growth rate over the next few years. It is expected to grow at a compound annual growth rate of 60.04% between 2016 and 2022,

Source: Tech Crunch Robots are great at doing things they’ve been shown how to do, but when presented with a novel problem, such as an unfamiliar shape that needs to be gripped, they tend to choke. AI is helping there in the form of systems like Dex-Net, which uses deep learning to let a robotic arm improvise an effective grip for objects it’s never seen before.

The diffusion of lightweight robots is widening the opportunities of their use in manufacturing cells. In particular, the hardware adaptability to different operative conditions enables new challenging scenarios like, for example, those of co-presence of